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基于生物信息学筛选与鉴定宫颈癌的生物标志物微小染色体维持蛋白2
引用本文:姜玮奇,王静,贺海威,陈俊,刘晨雾,徐明娟.基于生物信息学筛选与鉴定宫颈癌的生物标志物微小染色体维持蛋白2[J].第二军医大学学报,2021,42(4):399-410.
作者姓名:姜玮奇  王静  贺海威  陈俊  刘晨雾  徐明娟
作者单位:海军军医大学(第二军医大学)长海医院妇产科,上海200433
基金项目:]国家重点慢性非传染性疾病防控研究(2016YFC1303101). Supported byNational major chronic non-communicable disease prevention and control research(2016YFC1303101).[共同第一作者] △[
摘    要:目的 应用生物信息学技术分析筛选影响宫颈癌预后的关键基因并深度挖掘基因功能.方法 从基因表达汇编(GEO)数据库下载宫颈癌微阵列数据集(GSE6791、GSE39001、GSE55940、GSE63678),合并和批量标准化后筛选差异表达基因(DEG).对DEG进行基因本体(GO)和京都基因和基因组百科全书(KEGG)...

关 键 词:宫颈肿瘤  MCM2  生物信息学  泛癌  肿瘤微环境  肿瘤干细胞
收稿时间:2020/12/9 0:00:00
修稿时间:2021/4/7 0:00:00

Screening and verifying biomarker mini-chromosome maintenance protein 2 for cervical cancer based on bioinformatics
JIANG Wei-qi,WANG Jing,HE Hai-wei,CHEN Jun,LIU Chen-wu,XU Ming-juan.Screening and verifying biomarker mini-chromosome maintenance protein 2 for cervical cancer based on bioinformatics[J].Academic Journal of Second Military Medical University,2021,42(4):399-410.
Authors:JIANG Wei-qi  WANG Jing  HE Hai-wei  CHEN Jun  LIU Chen-wu  XU Ming-juan
Institution:Naval Medical University,Shanghai,Naval Medical University,Shanghai,Naval Medical University,Shanghai,Naval Medical University,Shanghai,Naval Medical University,Shanghai,Naval Medical University,Shanghai
Abstract:Objective To analyze and screen key genes affecting the prognosis of cervical cancer based on bioinformatics, and to explore their functions. Methods The microarray datasets of cervical cancer (GSE6791, GSE39001, GSE55940 and GSE63678) were downloaded from Gene Expression Omnibus (GEO) database, and the differentially expressed genes (DEGs) were screened after merging and batch normalization. The DEGs were analyzed by gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses and protein-protein interaction (PPI) network, and survival analysis was performed based on The Cancer Genome Atras (TCGA) database to identify key genes. The functions of key genes were analyzed by gene set enrichment analysis (GSEA), and the pan-cancer data based on TCGA database were used for in-depth research on functions, including gene correlation analysis, univariate Cox regression, immune subtype, tumor microenvironment and tumor stemness. Results A total of 336 DEGs were screened out, of which 153 were down-regulated and 183 were up-regulated. Mini-chromosome maintenance protein 2 (MCM2) was selected as a potential biomarker for cervical cancer by PPI network and survival analysis. The results of GSEA suggested that MCM2 was associated with autophagy and mitogen-activated protein kinase signaling pathway. The research in pan-cancer showed that the expression of MCM2 was positively correlated with the 5-year overall survival rates of 4 cancers (cervical cancer, lymphoid neoplasm diffuse large B-cell lymphoma, rectum adenocarcinoma, and uveal melanoma) and negatively correlated with 7 cancers (adrenocortical carcinoma, kidney chromophobe, acute myeloid carcinoma, brain lower grade glioma, liver hepatocellular carcinoma, mesothelioma and sarcoma). The research on functions in pan-cancer data suggested that MCM2-10 were invoved in the immune subtypes of cancers; tumor tissues with high expression levels of MCM2-10 had low proportions of matrix cells and immune cells and a high proportion of cancer cells; and the expression level of MCM2 was positively correlated with the tumor stemness in many cancers. Conclusion MCM2 is highly expressed in cervical cancer and related to the prognosis of patients, making it a potential biomarker for prognosis of cervical cancer. Furthermore, MCM2 is involved in various biological processes of many cancers, and it serves as a new target for cancer therapeutic intervention.
Keywords:cervical  cancer  MCM2  bioinformatics  pan-cancer  microenvironment  stemness
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